Gaurav Kabra

Step into the shoes of a candidate tackling real-world, time-bound interview challenges - where clarity, design thinking, and smart AI leverage define success.

This session simulates an AI-assisted technical interview under real-life conditions: high-pressure, fast-paced, and outcome-driven. You’ll scope a problem, design the architecture, implement the core, and strategically use AI to accelerate your reasoning and execution.

💡 What We’ll Cover

We’ll dive into the complete problem-solving spectrum - from idea to implementation - across:

1. System design & architecture reasoning (HLD + LLD)
2. API design and data modeling
3. Design tradeoffs
4. Modular, clean implementation under time constraints
5. AI as a thought partner - prompt crafting, code validation, debugging assistance

You’ll learn to balance speed with depth, and automation with human judgment - the same skill expected in today’s AI-powered engineering interviews.

🧠 What You’ll Get

1. 1-on-1 live simulation of an AI-assisted interview environment
2. Detailed, actionable feedback on problem scoping, code design, and communication
3. Guidance on how to use AI efficiently without over-relying on it
4. Structured insights into what interviewers actually evaluate
5. Post-session recommendations and improvement strategy

🎯 Ideal For

1. Engineers preparing for Machine Coding, LLD, or HLD rounds
2. Professionals targeting Senior Engineer / Tech Lead / Staff roles
3. Developers looking to master AI + human collaboration for real interviews
4. Candidates who want honest, personalized feedback before final rounds

🚀 Why This Session Matters

Modern interviews are evolving. It is no longer just about syntax or diagrams - it is about how effectively you think, structure, and execute, using AI as leverage.

This session helps you experience that shift first-hand - so you enter your next interview with precision, structure, and confidence.

You will get summary of the call along with actionable insights in verbal as well as written form.

The questions won't be regular LeetCode-style or one-liner but you will be given a detailed real-life scenario in which you will have to identify correct data-structure and optimal algorithm for solution. You will have to navigate ambiguity and design scalable, clean and extensible system.